Triple
T18556567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Nettles |
E453519
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joyce Nettles
Joyce Nettles is a British casting director best known for her work on the long-running television series "Midsomer Murders."
|
E1330125
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Joyce Nettles | Statement: [John Nettles, spouse, Joyce Nettles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joyce Nettles Context triple: [John Nettles, spouse, Joyce Nettles]
-
A.
Darlene Gillespie
Darlene Gillespie is an American singer and former child actress best known as one of the original Mouseketeers on the 1950s television show The Mickey Mouse Club.
-
B.
Janis Allen
Janis Allen is a screenwriter best known for co-writing the 1979 comedy film "Meatballs."
-
C.
Dixie Kay Nelson
Dixie Kay Nelson was the birth name of American actress and model Lori Nelson, known for her film and television roles in the 1950s.
-
D.
Darlene Edwards
Darlene Edwards is the deliberately off-key, comedic singing persona created and performed by American vocalist Jo Stafford.
-
E.
Darlene Snell
Darlene Snell is a volatile and ruthless heroin producer and matriarch in the crime drama series "Ozark," known for her unpredictable violence and fierce protection of her land and legacy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joyce Nettles Triple: [John Nettles, spouse, Joyce Nettles]
Generated description
Joyce Nettles is a British casting director best known for her work on the long-running television series "Midsomer Murders."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joyce Nettles Target entity description: Joyce Nettles is a British casting director best known for her work on the long-running television series "Midsomer Murders."
-
A.
Darlene Gillespie
Darlene Gillespie is an American singer and former child actress best known as one of the original Mouseketeers on the 1950s television show The Mickey Mouse Club.
-
B.
Janis Allen
Janis Allen is a screenwriter best known for co-writing the 1979 comedy film "Meatballs."
-
C.
Dixie Kay Nelson
Dixie Kay Nelson was the birth name of American actress and model Lori Nelson, known for her film and television roles in the 1950s.
-
D.
Darlene Edwards
Darlene Edwards is the deliberately off-key, comedic singing persona created and performed by American vocalist Jo Stafford.
-
E.
Darlene Snell
Darlene Snell is a volatile and ruthless heroin producer and matriarch in the crime drama series "Ozark," known for her unpredictable violence and fierce protection of her land and legacy.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53806d2a08190963f4d8e927a247f |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ae3eb148190a7e2583f26c1a0eb |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049c355cb08190a63addeba8293e5c |
completed | May 13, 2026, 3:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cfa32588190a6e4abf128aced0a |
completed | May 13, 2026, 3:47 p.m. |
Created at: April 10, 2026, 11:39 a.m.